ISSN 0021-3454 (print version)
ISSN 2500-0381 (online version)
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12
Issue
vol 59 / DECEMBER, 2016
Article
UDC 004.522

METHODOLOGY FOR ESTIMATION OF AUTOMATIC SPEECH RECOGNITION SYSTEM PERFORMANCE

A. A. Karpov
Saint Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, Saint Petersburg, 199178, Russia; ITMO University, Saint Petersburg, 197101, Russian Federation; Laboratory head; professor


I. S. Kipyatkova
St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences (SPIIRAS), Saint Petersburg, 199178, Russian Federation; senior researcher


Abstract.   The state-of-the-art methodology of quantitative evaluation of automatic systems for speech recognition and speaker diarization is presented. Various measures and methods for estimation of automatic speech recognition results by criteria of speech recognition accuracy and signal processing speed are described.
Keywords: automatic speech recognition, speech recognition accuracy, evaluation criteria and measures.